A New High-Resolution Ocean Forcing Based on ERA5 and Scatterometer Data M Portabella, A Trindade, G Grieco, E Makarova, F Cossu IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
Evaluation of the ERA* ocean forcing product under storm surge conditions in the Adriatic Sea E Makarova Universidad de Barcelona, 2020 | 1 | 2020 |
On the use of machine learning to correct NWP model sea surface wind forecasts with scatterometer data input E Makarova, M Portabella, A Stoffelen, A Trindade CSIC-Instituto de Ciencias del Mar (ICM), 2023 | | 2023 |
ERA* high resolution ocean forcing product development and application A Trindade, G Grieco, E Makarova, M Portabella, R Giesen, A Verhoef, ... | | 2022 |
Development of a 11-year ERA* high resolution ocean forcing dataset M Portabella, E Makarova, A Trindade, G Grieco, R Giesen, A Stoffelen, ... | | 2022 |
Development of a 11-year ERA* High Resolution Ocean Forcing Dataset E Makarova, A Trindade, G Grieco, M Portabella | | 2022 |
WOC ERA* Hourly Global Stress Equivalent Wind and Wind Stress (V. 2.0)[Dataset] A Trindade, G Grieco, E Makarova, M Portabella CSIC-Instituto de Ciencias del Mar (ICM), 2022 | | 2022 |
Proposal and Evaluation of the Machine Learning Models for Correcting ERA5 Stress Equivalent Wind Forecasts as a Function of Atmospheric and Oceanic Conditions E Makarova Universidad Autónoma de Madrid, 2022 | | 2022 |
World Ocean Circulation: Product User Manual for ERAstar (v2. 0) M Portabella, A Trindade, G Grieco, E Makarova European Space Agency, 2022 | | 2022 |
World Ocean Circulation: Algorithm Technical Baseline Document for ERAstar (v2. 0) M Portabella, A Trindade, G Grieco, E Makarova European Space Agency, 2022 | | 2022 |
Too extreme, or not too extreme, that is the question M Portabella, F Polverari, W Lin, A Stoffelen, AS Rabaneda, J Sapp, ... Consejo Superior de Investigaciones Científicas (España), 2022 | | 2022 |
Development of the ERA* high resolution forcing from ERA5 reanalysis and scatterometer stress-equivalent winds A Trindade, E Makarova, M Portabella, G Grieco, A Verhoef, A Stoffelen, ... | | 2021 |
The role of scatterometry in ocean model forcing M Portabella, A Trindade, G Grieco, E Makarova, A Stoffelen, ... | | 2021 |
Ocean and Sea Ice SAF: OSI VSA22 01: Proposal and Evaluation of the Machine Learning Models for Correcting ERA5 Stress Equivalent Wind Forecasts as a Function of Atmospheric … E Makarova, M Portabella, A Stoffelen EUMETSAT, 0 | | |
Using scatterometer observations to correct for persistent biases in modelled ocean surface winds R Giesen, E Makarova, Z Wang, A Stoffelen, M Portabella | | |